---
license: cc-by-4.0
pretty_name: STANCE Scenes (Composite & Synthetic)
language:
- en
tags:
- stance
- kubric
- rigid-body
- video
- synthetic-data
size_categories:
- 10K<n<100K
---

# STANCE Scenes (Composite & Synthetic)

**Snapshot:** 95k scenes total — **75,000 composite** + **20,000 synthetic/simple**.  
Built with **Kubric** for short clips of rigid-body interactions.

- **Synthetic/simple:** minimal scenes with one or more rigid objects; randomized shape (ball / a few primitives), mass, initial linear velocity, and pose. Lighting uses three area lights plus a sun with randomized intensity/temperature.
- **Composite:** replaces primitives with **GSO** assets; backgrounds sampled from ~5,000 environment maps; randomized object selection/placement/pose to induce diverse contacts and occlusions.  
Camera intrinsics/extrinsics and renderer settings are consistent within each scene; material, friction, restitution, and object counts are sampled within bounded ranges.

## Files in this release
- `composite_scene.tar.part-00`
- `composite_scene.tar.part-01`
- `composite_scene.tar.part-02`
- `composite_scene.tar.part-03`
- `synthetic_scene.tar`

> `composite_scene.tar` is split into 4 parts; `synthetic_scene.tar` is a single archive.

## Reassemble & Extract
Linux / macOS:
```bash
cat composite_scene.tar.part-0{0..3} > composite_scene.tar
tar -xf composite_scene.tar
tar -xf synthetic_scene.tar
````

(Optional) verify:

```bash
sha256sum composite_scene.tar synthetic_scene.tar
```

## Project & Code

For detailed information about our work, please visit our **project page**:
[https://envision-research.github.io/STANCE/](https://envision-research.github.io/STANCE/)

If you find this work useful, please consider **citing our paper** and leaving a **⭐ on GitHub**:
[https://github.com/EnVision-Research/STANCE](https://github.com/EnVision-Research/STANCE)

## Citation

```bibtex
@article{chen2025stance,
  title   = {STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding},
  author  = {Zhifei Chen and Tianshuo Xu and Leyi Wu and Luozhou Wang and Dongyu Yan and Zihan You and Wenting Luo and Guo Zhang and Yingcong Chen},
  journal = {arXiv preprint arXiv:2510.14588},
  year    = {2025}
}
```

## License

CC BY 4.0 (you may switch to CC BY-NC 4.0 if preferred).

```
::contentReference[oaicite:0]{index=0}
```